Mostafa Dehghani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
51
Venues
14
Active years
2014–2024
Best venue rank
A*
Where they publish
Papers
51 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | Frozen Feature Augmentation for Few-Shot Image Classification. | Andreas Br, Neil Houlsby, Mostafa Dehghani, Manoj Kumar |
| 2024 | CVPR | On Scaling Up a Multilingual Vision and Language Model. | Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut |
| 2024 | CVPR | End-to-End Spatio-Temporal Action Localisation with Video Transformers. | Alexey A. Gritsenko, Xuehan Xiong, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid, Anurag Arnab |
| 2024 | NAACL | Low-Rank Adaptation for Multilingual Summarization: An Empirical Study. | Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings, Mostafa Dehghani, Chu-Cheng Lin, Mirella Lapata |
| 2024 | SIGIR | The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking. | Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani |
| 2023 | EMNLP | DSI++: Updating Transformer Memory with New Documents. | Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler |
| 2023 | EMNLP | Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? | Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler |
| 2023 | EMNLP | Transcending Scaling Laws with 0.1% Extra Compute. | Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani |
| 2023 | ICLR | Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. | Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, Carlos Riquelme Ruiz, Basil Mustafa, Joshua Ainslie, Yi Tay, Mostafa Dehghani, Neil Houlsby |
| 2023 | ICLR | $\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells. | Sajad Movahedi, Melika Adabinejad, Ayyoob Imani, Arezou Keshavarz, Mostafa Dehghani, Azadeh Shakery, Babak Nadjar Araabi |
| 2023 | ICLR | L2 Norm Guided Adaptive Computation. | Mani Shemiranifar, Mostafa Dehghani |
| 2023 | ICLR | UL2: Unifying Language Learning Paradigms. | Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler |
| 2023 | ICML | Scaling Vision Transformers to 22 Billion Parameters. | Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby |
| 2023 | ICML | Adaptive Computation with Elastic Input Sequence. | Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You |
| 2022 | CIKM | Intersection of Parallels as an Early Stopping Criterion. | Ali Vardasbi, Maarten de Rijke, Mostafa Dehghani |
| 2022 | CVPR | SCENIC: A JAX Library for Computer Vision Research and Beyond. | Mostafa Dehghani, Alexey A. Gritsenko, Anurag Arnab, Matthias Minderer, Yi Tay |
| 2022 | ECCV | Simple Open-Vocabulary Object Detection. | Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby |
| 2022 | ICLR | The Efficiency Misnomer. | Mostafa Dehghani, Yi Tay, Anurag Arnab, Lucas Beyer, Ashish Vaswani |
| 2022 | ICLR | Exploring the Limits of Large Scale Pre-training. | Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, Hanie Sedghi |
| 2022 | ICLR | Discrete Representations Strengthen Vision Transformer Robustness. | Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa |
| 2022 | ICLR | Scale Efficiently: Insights from Pretraining and Finetuning Transformers. | Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler |
| 2022 | SIGIR | Retrieval-Enhanced Machine Learning. | Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky |
| 2021 | ACL | Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks. | Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, James Henderson |
| 2021 | ACL | Are Pretrained Convolutions Better than Pretrained Transformers? | Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Vamsi Aribandi, Dara Bahri, Zhen Qin, Donald Metzler |
| 2021 | ICCV | ViViT: A Video Vision Transformer. | Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid |
| 2021 | ICLR | IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. | Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Snderby, Tim Salimans |
| 2021 | ICLR | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. | Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby |
| 2021 | ICLR | Long Range Arena : A Benchmark for Efficient Transformers. | Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler |
| 2021 | ICML | OmniNet: Omnidirectional Representations from Transformers. | Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler |
| 2019 | ICLR | Universal Transformers. | Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Lukasz Kaiser |
| 2019 | WSDM | Learning to Transform, Combine, and Reason in Open-Domain Question Answering. | Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke |
| 2018 | CIKM | From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. | Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik G. Learned-Miller, Jaap Kamps |
| 2018 | ICLR | Fidelity-Weighted Learning. | Mostafa Dehghani, Arash Mehrjou, Stephan Gouws, Jaap Kamps, Bernhard Schlkopf |
| 2018 | SIGIR | SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval. | Hamed Zamani, Mostafa Dehghani, Fernando Diaz, Hang Li, Nick Craswell |
| 2018 | WSDM | Neural Networks for Information Retrieval. | Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra |
| 2017 | CHIIR | Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search. | Mostafa Dehghani, Glorianna Jagfeld, Hosein Azarbonyad, Alex Olieman, Jaap Kamps, Maarten Marx |
| 2017 | CIKM | Words are Malleable: Computing Semantic Shifts in Political and Media Discourse. | Hosein Azarbonyad, Mostafa Dehghani, Kaspar Beelen, Alexandra Arkut, Maarten Marx, Jaap Kamps |
| 2017 | CIKM | Learning to Attend, Copy, and Generate for Session-Based Query Suggestion. | Mostafa Dehghani, Sascha Rothe, Enrique Alfonseca, Pascal Fleury |
| 2017 | ECIR | Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity. | Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter, Maarten Marx, Jaap Kamps, Maarten de Rijke |
| 2017 | ICTIR | On Search Powered Navigation. | Mostafa Dehghani, Glorianna Jagfeld, Hosein Azarbonyad, Alex Olieman, Jaap Kamps, Maarten Marx |
| 2017 | SIGIR | Neural Ranking Models with Weak Supervision. | Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, W. Bruce Croft |
| 2017 | SIGIR | Neural Networks for Information Retrieval. | Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra |
| 2016 | CHIIR | Generalized Group Profiling for Content Customization. | Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten Marx |
| 2016 | CIKM | The Healing Power of Poison: Helpful Non-relevant Documents in Feedback. | Mostafa Dehghani, Samira Abnar, Jaap Kamps |
| 2016 | CIKM | Luhn Revisited: Significant Words Language Models. | Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Djoerd Hiemstra, Maarten Marx |
| 2016 | ICTIR | On Horizontal and Vertical Separation in Hierarchical Text Classification. | Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten Marx |
| 2016 | SIGIR | Significant Words Representations of Entities. | Mostafa Dehghani |
| 2015 | ECIR | Sources of Evidence for Automatic Indexing of Political Texts. | Mostafa Dehghani, Hosein Azarbonyad, Maarten Marx, Jaap Kamps |
| 2015 | ICTIR | Revisiting Optimal Rank Aggregation: A Dynamic Programming Approach. | Shayan A. Tabrizi, Javid Dadashkarimi, Mostafa Dehghani, Hassan Nasr Esfahani, Azadeh Shakery |
| 2015 | SIGIR | Time-Aware Authorship Attribution for Short Text Streams. | Hosein Azarbonyad, Mostafa Dehghani, Maarten Marx, Jaap Kamps |
| 2014 | SIGIR | Entity linking by focusing DBpedia candidate entities. | Alex Olieman, Hosein Azarbonyad, Mostafa Dehghani, Jaap Kamps, Maarten Marx |